ArticleAmerican journal of respiratory and critical care medicine2017
A Severe Asthma Disease Signature from Gene Expression Profiling of Peripheral Blood from U-BIOPRED Cohorts.
Article in American journal of respiratory and critical care medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01982162 (Protocol for the European Multi-Centre Study Understanding Severe Asthma Longitudinal Assessment of Children With Severe Asthma and Severe Pre-school Wheeze), which is not on this map. Cited by 114 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Protocol for the European Multi-Centre Study Understanding Severe Asthma Longitudinal Assessment of Children With Severe Asthma and Severe Pre-school Wheeze
Who cites it
114 citing papers in PubMed, 1 synthesis or guideline pooled it, 183 citations in OpenAlex.
- Shared DNA methylation signatures in childhood allergy: The MeDALL study.The Journal of allergy and clinical immunology · 2021Pooled it
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- Systems biology and in vitro validation identifies family with sequence similarity 129 member A (FAM129A) as an asthma steroid response modulator.The Journal of allergy and clinical immunology · 2018Trial
- Histidine metabolic reprogramming drives oxidative stress induced mtDNA release to promote necroptosis and airway inflammation in severe asthma.Redox biology · 2026Article
- Transcriptomic profiling of pediatric asthma by diseases state and severity.Respiratory research · 2026Article
- Unsupervised Machine-Learning-Based Endotype Discovery Using Iterative Resampling in Dupilumab-Treated Patients.International journal of molecular sciences · 2026Article
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- Integrated molecular networks reveal latent components distinguishing type 2-high and type 2-low asthma.BMJ open respiratory research · 2026Article
- Distinct blood transcriptomic profiling underlying asthma establishment and exacerbation.The journal of allergy and clinical immunology. Global · 2026Article
- Circulating Cell-Free RNA Reflects Immune-Associated and Airway Remodeling Signatures in Equine Asthma.Journal of immunology research · 2026Article
- A statistical physics approach to integrating multi-omics data for disease-module detection.Cell reports methods · 2025Article
- Integrated multi-omics profiling reveals shared mechanistic pathways in asthma-allergic rhinitis comorbidity: A hybrid machine learning framework leveraging Mendelian randomization for precision diagnostics.The World Allergy Organization journal · 2025Article
- Single-cell transcriptomic profiling of eosinophils and airway immune cells in childhood asthma.The Journal of allergy and clinical immunology · 2025Article
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- A Report of 3 Cases of Adrenal Suppression Due to Glucocorticoid Hypersensitivity to Inhaled Corticosteroids.JCEM case reports · 2025Article
- Distinct single-cell transcriptional profile in CD4+ T-lymphocytes among obese children with asthma.American journal of physiology. Lung cellular and molecular physiology · 2025Article
- Precision medicine for asthma treatment: Unlocking the potential of the epigenome and microbiome.The Journal of allergy and clinical immunology · 2025Review
- Copy Number Variation in Asthma: An Integrative Review.Clinical reviews in allergy & immunology · 2025Review
- Article
- Article
54 more citing papers are in PubMed but not listed here.
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Authors and funding
21 authors at 8 institutions in 5 countries.
Funding
Abstract
rationaleStratification of asthma at the molecular level, especially using accessible biospecimens, could greatly enable patient selection for targeted therapy.
objectivesTo determine the value of blood analysis to identify transcriptional differences between clinically defined asthma and nonasthma groups, identify potential patient subgroups based on gene expression, and explore biological pathways associated with identified differences.
methodsTranscriptomic profiles were generated by microarray analysis of blood from 610 patients with asthma and control participants in the U-BIOPRED (Unbiased Biomarkers in Prediction of Respiratory Disease Outcomes) study. Differentially expressed genes (DEGs) were identified by analysis of variance, including covariates for RNA quality, sex, and clinical site, and Ingenuity Pathway Analysis was applied. Patient subgroups based on DEGs were created by hierarchical clustering and topological data analysis. MEASUREMENTS AND MAIN
resultsA total of 1,693 genes were differentially expressed between patients with severe asthma and participants without asthma. The differences from participants without asthma in the nonsmoking severe asthma and mild/moderate asthma subgroups were significantly related (r = 0.76), with a larger effect size in the severe asthma group. The majority of, but not all, differences were explained by differences in circulating immune cell populations. Pathway analysis showed an increase in chemotaxis, migration, and myeloid cell trafficking in patients with severe asthma, decreased B-lymphocyte development and hematopoietic progenitor cells, and lymphoid organ hypoplasia. Cluster analysis of DEGs led to the creation of subgroups among the patients with severe asthma who differed in molecular responses to oral corticosteroids.
conclusionsBlood gene expression differences between clinically defined subgroups of patients with asthma and individuals without asthma, as well as subgroups of patients with severe asthma defined by transcript profiles, show the value of blood analysis in stratifying patients with asthma and identifying molecular pathways for further study. Clinical trial registered with www.clinicaltrials.gov (NCT01982162).
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